Oracolo – A minimalist Nostr blog in a single HTML file

Hacker News

Oracolo is a minimalist blog powered by Nostr, that consists of a single html file, weighing only ~140Kb. It works also without a web server; for example you can send it via email as a business card. Take it as a didactic experiment, it's no production ready, indeed it has some limitations (no SEO friendly structure), but can work as a temporary solution (e.g. coming soon and parking pages), and it is still an example of how easy it is to create a Nostr-powered web app and deploy it on a low-tech infrastructure. Comments and suggestions on how to improve it are welcome!

Visit product View on Hacker NewsMay 21, 2024

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90points

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, single · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, soon · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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